agate 1.13.0 documentation

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# agate 1.13.0

agate is a Python data analysis library that is optimized for humans instead of machines. It is an alternative to numpy and pandas that solves real-world problems with readable code.

agate was previously known as journalism.

Important links:

- Documentation: https://agate.rtfd.org

- Repository: https://github.com/wireservice/agate

- Issues: https://github.com/wireservice/agate/issues

## Show me docs

- About - why you should use agate and the principles that guide its development

- Install - how to install for users and developers

- Tutorial - a step-by-step guide to start using agate

- Cookbook - sample code showing how to accomplish dozens of common tasks, including comparisons to SQL, R, etc.

- Extensions - a list of libraries that extend agate functionality and how to build your own

- API - technical documentation for every agate feature

- Changelog - a record of every change made to agate for each release

## Show me code

    import agate

    purchases = agate.Table.from_csv('examples/realdata/ks_1033_data.csv')

    by_county = purchases.group_by('county')

    totals = by_county.aggregate([
        ('county_cost', agate.Sum('total_cost'))
    ])

    totals = totals.order_by('county_cost', reverse=True)
    totals.limit(10).print_bars('county', 'county_cost', width=80)

    county     county_cost
    SEDGWICK    977,174.45 ▓░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
    COFFEY      691,749.03 ▓░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
    MONTGOMERY  447,581.20 ▓░░░░░░░░░░░░░░░░░░░░░░░░░
    JOHNSON     420,628.00 ▓░░░░░░░░░░░░░░░░░░░░░░░░
    SALINE      245,450.24 ▓░░░░░░░░░░░░░░
    FINNEY      171,862.20 ▓░░░░░░░░░░
    BROWN       145,254.96 ▓░░░░░░░░
    KIOWA        97,974.00 ▓░░░░░
    WILSON       74,747.10 ▓░░░░
    FORD         70,780.00 ▓░░░░
                           +-------------+-------------+-------------+-------------+
                           0          250,000       500,000       750,000  1,000,000

This example, along with detailed comments, are available as a Jupyter notebook.

## Join us

- Contributing - guidance for developers who want to contribute to agate

- Release process - the process for maintainers to publish new releases

- License - a copy of the MIT open source license covering agate

## Who we are

agate is made by a community. The following individuals have contributed code, documentation, or expertise to agate:

- Christopher Groskopf

- Jeff Larson

- Eric Sagara

- John Heasly

- Mick O’Brien

- David Eads

- Nikhil Sonnad

- Matt Riggott

- Tyler Fisher

- William P. Davis

- Ryan Murphy

- Raphael Deem

- Robin Linderborg

- Chris Keller

- Neil Bedi

- Geoffrey Hing

- Taurus Olson

- Danny Page

- James McKinney

- Tony Papousek

- Mila Frerichs

- Paul Fitzpatrick

- Ben Welsh

- Kevin Schaul

- sandyp

- Lexie Heinle

- Will Skora

- Joe Germuska

- Eli Murray

- Derek Swingley

- Or Sharir

- Anthony DeBarros

- Apoorv Anand

- Ghislain Antony Vaillant

- Neil MartinsenBurrell

- Aliaksei Urbanski

- Forest Gregg

- Robert Schütz

- Wouter de Vries

- Kartik Agaram

- Loïc Corbasson

- Danny Sepler

- brian-from-quantrocket

- mathdesc

- Tim Gates

- castorf

- Julien Enselme

- Scott Gigante

## Indices and tables

- Index

- Module Index

- Search Page